Loureiro, André de Souza 
; Valverde-Rebaza, Jorge Carlos ; Noguez, Julieta ; Escarcega, David ; Marcacini, Ricardo Marcondes
Source: Lecture Notes in Artificial Intelligence. Conference titles: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD. Unidades: ICMC, ESALQ
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL
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LOUREIRO, André de Souza et al. Advancing multi-step mathematical reasoning in large language models through multi-layered self-reflection with auto-prompting. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-06078-5_12. Acesso em: 20 jan. 2026. , 2026APA
Loureiro, A. de S., Valverde-Rebaza, J. C., Noguez, J., Escarcega, D., & Marcacini, R. M. (2026). Advancing multi-step mathematical reasoning in large language models through multi-layered self-reflection with auto-prompting. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-06078-5_12NLM
Loureiro A de S, Valverde-Rebaza JC, Noguez J, Escarcega D, Marcacini RM. Advancing multi-step mathematical reasoning in large language models through multi-layered self-reflection with auto-prompting [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16016 205-223.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/978-3-032-06078-5_12Vancouver
Loureiro A de S, Valverde-Rebaza JC, Noguez J, Escarcega D, Marcacini RM. Advancing multi-step mathematical reasoning in large language models through multi-layered self-reflection with auto-prompting [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16016 205-223.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1007/978-3-032-06078-5_12
